Efficient Go: Data-Driven Performance Optimization - Couverture souple

Plotka, Bartlomiej

 
9781098105716: Efficient Go: Data-Driven Performance Optimization
Couverture souple
ISBN 10 : 1098105710 ISBN 13 : 9781098105716
Editeur : O'Reilly Media, 2022

Synopsis

With technological advancements, fast markets, and higher complexity of systems, software engineers tend to skip the uncomfortable topic of software efficiency. However, tactical, observability-driven performance optimizations are vital for every product to save money and ensure business success.

With this book, any engineer can learn how to approach software efficiency effectively, professionally, and without stress. Author Bartlomiej Plotka provides the tools and knowledge required to make your systems faster and less resource-hungry. Efficient Go guides you in achieving better day-to-day efficiency using Go. In addition, most content is language-agnostic, allowing you to bring small but effective habits to your programming or product management cycles.

This book shows you how to:

  • Clarify and negotiate efficiency goals
  • Optimize efficiency on various levels
  • Use common resources like CPU and memory effectively
  • Assess efficiency using observability signals like metrics, logging, tracing, and (continuous) profiling via open source projects like Prometheus, Jaeger, and Parca
  • Apply tools like go test, pprof, benchstat, and k6 to create reliable micro and macro benchmarks
  • Efficiently use Go and its features like slices, generics, goroutines, allocation semantics, garbage collection, and more!

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

À propos de l?auteur

Bartlomiej Plotka is a Principal Software Engineer at Red Hat with a background in SRE. Working primarily on observability topics, he helped to build many popular, reliable, performance, and efficiency-oriented distributed systems in Go. He is a core maintainer of various open-source projects including the CNCF Prometheus (https: //prometheus.io/), libraries in the gRPC ecosystem, and more. In 2017 he created, together with Fabian Reinartz, a popular, open source distributed time series database. Focused on cheap and efficient metric monitoring, written in Go and called Thanos (http: //thanos.io/), it went through hundreds of performance and efficiency focused improvements and researches. Developing in Go since 2014, Bartekâ s passion was always to focus on the readability, reliability, and efficiency aspect of the language. On the way, Bartek helped to develop many tools, blog posts and even created opinionated Go code style to teach others on writing pragmatic, but efficient Go applications.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
O'Reilly Media
Date d'édition
2022
Langue
anglais
ISBN 10 
1098105710
ISBN 13 
9781098105716
Reliure
Broché
Nombre de pages
494
Coordonnées du fabricant
O'Reilly
https://oreilly.com

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Etats-Unis
Personne responsable
non disponible